wtf is deep-learning-with-tensorflow-book?

This repository is an open-source book that teaches deep learning, a branch of artificial intelligence, using Google's TensorFlow 2.0 software. The book and its README are written in Chinese, and the author nicknames it the Dragon Book. It is aimed at beginners, and the README says it combines theory with hands-on practice so that newcomers can follow along. The repository is more than just text. According to the README it bundles the PDF e-book, the matching source code, and teaching slides. Some of the code examples have been converted into Jupyter notebooks, which are documents that mix written explanation with runnable code, and the author thanks a contributor for doing that conversion. The PDF can be downloaded from the repository or from a linked file-sharing service. Much of the README is about the book's reach and reputation. It notes that a printed edition is sold through major Chinese online stores, that a traditional-character version has been published in Taiwan, that the book has been covered by Chinese tech media, and that the repository spent several days ranked first on GitHub's global trending list. A long table lists universities that have adopted it as course material, and teachers are invited to email for the original slide files. The README also points to a wider set of related resources: a print edition, an introductory video, an English version of the book, paid online video courses, a companion book that uses the PyTorch framework instead of TensorFlow, and a separate repository of extra TensorFlow examples. Finally, the author asks that the material be used for non-commercial purposes only, with credit given to the author and a link back to the GitHub page. Feedback and corrections are requested through the GitHub issues page.